Pinnaree Tea-makorn, Ph.D.

Pinnaree Tea-makorn, Ph.D.

Core Faculty

[email protected]
  • Faculty, Management, Sasin School of Management
  • AI Strategist, Sasin School of Management

  • Technical advisor, Edsy (August 2020 – present)
  • Co-founder, Tenxor (July 2019 – December 2020)
  • Marketing intern, Tick Tock Networks (Summer 2019)
  • Technical advisor, Ajaib (Spring 2018)
  • Effective Philanthropy Lab summer intern, Stanford Center on Philanthropy and Civil Society (Summer 2017)
  • Software engineering intern, Urban Engines (Summer 2015)
  • Interim engineering intern, Qualcomm (Summer 2014)

Stanford University We look like our names, Professor Michal Kosinski (2019 – present)
  • Examined whether humans and facial recognition algorithms can identify one’s name from one’s face after controlling for age, gender, and ethnicity.
Convergence in the physical appearance of spouses, Professor Michal Kosinski (2017 – 2019)
  • Examined whether spouses’ faces become more similar over time. Their facial similarity is estimated using two independent methods: human judgments and a facial recognition algorithm.
  • The results show that while spouses’ faces tend to be similar at marriage, they do not converge over time.
  • The paper has been published in Scientific Reports
Jackrabbot, Stanford Vision and Learning Lab (Spring – Autumn 2018)
  • Created a crowd-sourcing website on Amazon’s Mechanical Turk (MTurk) to collect data to train Jackrabbot, a self-navigating automated robot designed to operate in pedestrian spaces.
Special Studies and Reports in Electrical Engineering, Professor Balaji Prabhakar (2014-2017)
  • Developed a user interface for alert detection in data centers.
  • Developed a voice-based navigation iPhone application.
  • Investigated indoors positioning using smartphone sensors (accelerometer and gyroscope).
  • Developed an Android application to calculate displacement from sensor measurements and filter sensor noise.
Capri Fuel, Stanford Center for Societal Networks (Autumn 2013)
  • Implemented the user interface website for the project, a redemption option from Congestion and Parking Relief Incentives Program (Capri) that let users earn cash rewards for refueling.
Capri carbon footprint data analysis, Research Experience for Undergraduates Program (Summer 2013)
  • Computed the amount of carbon footprint that Stanford commuters who joined Capri can save via geocoding.
  • Designed a database and performed data analysis on the correlation between user characteristics and carbon footprint behaviors in Ruby on Rails.
Chulalongkorn University, Thailand Non-intrusive load monitoring (Summer 2012)
  • Created a power consumption edge analysis program in Matlab for non-intrusive load monitoring (NLIM) in households. The University adopted the program for its NLIM research.

  • Special Lecturer for Introduction to New Ventures, Sripatum University International College
  • Graduate TA Advisor, Stanford University
  • Graduate Teaching Fellow for EE 102A (Signal Processing and Linear Systems I), Stanford University
  • Course Assistant, Stanford University
  • Section Leader for EE 108 (Digital System Design), Stanford University
  • EE 108 Lab Support Staff, Stanford University
  • Section Leader for EE 102A, Stanford University

  • James F. Gibbons Outstanding Student Teaching Award – June 2018
  • The President’s Award for Academic Excellence in the Freshman Year, Stanford University – September 2012
  • Wadsworth Prize in Physics, Phillips Academy – June 2011
  • IUPAC Prize for Best Performance in Theoretical Exam (perfect score) and Gold medal, International Chemistry Olympiad – July 2010
  • King’s Scholarship (first ranked recipient), Royal Thai Government – February 2010
  • Silver medal, International Chemistry Olympiad – July 2009

Stanford University, Stanford, CA
  • Ph.D. in Electrical Engineering – January 2021
  • M.S. in Electrical Engineering – June 2015
  • B.S. in Electrical Engineering, with Distinction – June 2015

Share this profile